Distributed web service architecture for scalable content analysis: semi-automatic annotation of user generated content

  • Authors:
  • Mika Rautiainen;Arto Heikkinen;Jouni Sarvanko;Mika Ylianttila

  • Affiliations:
  • MediaTeam Research Group, University of Oulu, Department of Electrical and Information Engineering, Computer Science and Engineering Laboratory, University of oulu, Finland;MediaTeam Research Group, University of Oulu, Department of Electrical and Information Engineering, Computer Science and Engineering Laboratory, University of oulu, Finland;MediaTeam Research Group, University of Oulu, Department of Electrical and Information Engineering, Computer Science and Engineering Laboratory, University of oulu, Finland;MediaTeam Research Group, University of Oulu, Department of Electrical and Information Engineering, Computer Science and Engineering Laboratory, University of oulu, Finland

  • Venue:
  • GPC'11 Proceedings of the 6th international conference on Advances in grid and pervasive computing
  • Year:
  • 2011

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Abstract

This paper describes distributed web service architecture to allow web level scalability for multimedia content analysis. We introduce service component architecture that allows for orchestration and composition of services as content analysis units to enrich multimedia metadata using common data model built upon MPEG-7 content description standard. We report experiments with automatic load balancing and introduce an end user application that facilitates annotation of people in images and video.